I am a seasoned Research Scientist specializing in Machine Learning (ML) and Artificial Intelligence (AI). I hold a Ph.D. in Information Engineering and Sciences from the University of Siena, Italy, where I focused on developing a Game-Theoretic approach for adversarial information fusion in distributed sensor networks within the cybersecurity domain. With extensive experience in both academia and industry, I have worked on projects funded by notable institutions such as DARPA, the U.S. Air Force Research Laboratory, the Italian Ministry of University and Research, and the French ANR. My contributions include research on adversarial deep learning and signal processing, as well as AI security. I was a research fellow at the USA National Institute of Standards and Technology from February 2020 until the end of February 2022 in the wireless communication division of the chemical process and nuclear measurements group. From March 2022 to December 2023, I served as a research scientist at the French National Institute for Research in Digital Science and Technology (INRIA). Notable for my contributions to the SAIDA project, I focused on the security of AI for defense applications, exploring areas like backdoor attacks, deep learning defenses, and deep neural networks watermarking. I am currently a Senior Scientist at the French National Institute of Health and Medical Research, focusing on the security and privacy of AI for healthcare. My achievements include being recognized with the top 3 in the best-of-the-best PhD thesis award by Springer, the Best Paper Award at the Ninth International Conference on Advances in Multimedia (MMEDIA) in 2017, and the top 3% paper award at the ICASSP conference in June 2023.